• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.3
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• pp.3-12
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• 2019

Since offline contact becomes a strong differentiator as online market expands, the shopping mall calls for more complex and diverse tenant combinations and deployment plan strategies. There is, however, few practical research and causal verification of Tenant Mix, i.e., the combination and placement of tenant and users' behavior, has been conducted which is a key factor in spatial configuration. In practice, Tenant Mix is limited in prediction of consumption behavior of customers by the MD planners's experience and depends only on qualitative arbitrary plan. The purpose of this study is to find out the interrelationship between the spatial configuration and the users' behavior of Tenant Mix in shopping mall, and to present an objective basis in MD planning. According to the analysis, it was possible to know that there are differences in the relationship between the spatial configuration and the users' behavior dependent on the Tenant Mix, which is the space planning of shopping mall. It was also possible to find out the characteristics and differences in the users' behavior which is dependent on the spatial configuration for each tenant. Through this study, it was possible to know the impact of space organization on the users' behavior and the interrelationship between the use's behavior and spatial configuration by tenant together with their characteristics. We prove that the current MD planning has limitation due to lack of objective research on the combination and arrangement of space in the commercial space and only done empirically. This analysis can show the practical plan of combination and placement of tenant which is emphasized in complex and larger shopping malls, and contribute to the revitalization of shopping mall by better use of tenant.

• Korean Institute of Interior Design Journal
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• v.21 no.2
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• pp.174-185
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• 2012

The purpose of this study is to suggest planning strategy of tenant mix for UEC based on the final result of tenant mix analysis of five different research cases. The following is the comprehensive explanation about the result of tenant mix planning strategy for UEC currently in operation and when planning a new facility. First, overall research cases in this study show the tendency of following an old tradition, which stresses direct sales focusing on retail and dining adaptation. In order to compensate the defect, it is suggested to adopt new type of tenants with the functional mix of retail and dining with entertainment rather than decreasing the proportion of retail and dining tenant and increasing it of entertainment tenant. Second, the floorplan of UEC should adopt racetrack or circuit form that can stimulate shoppers' circular movement so to expose them to as much tenants as possible. Service consumption mode related tenants are required to place on the side or the edge of UEC, while retail consumption mode related tenants should be planned in the center. Among dining consumption mode related tenants, impulse dining tenants like a coffee shop should be placed at the turning point or at the end of the pathway, destination tenants like a restaurant and a food court, on the other hand, is needed to be placed in the center of the space. In case of Entertainment related tenants, destination tenants like bookstore or multiplex should also be placed at the end of the pathway, and on the way to those tenants, it is required to place general tenants that can share target customers with them. On the contrary, game center or record shop like tenants that can stimulate impulse sales should be placed on the visitor's main move or near the other destination tenants. Third, anchor tenants play an important role in gathering people to the UEC, and then induce them to visit the other tenants that are located near the anchors. Thus it is suggested to plan to place general tenants on the same floor as anchor tenants are placed so they can share the characteristics of target customers which create synergy effect.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.3
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• pp.1164-1183
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• 2019

The rapid development of cloud computing and high requirements of operators requires strong support from the underlying Data Center Networks. Therefore, the effectiveness of using resources in the data center networks becomes a point of concern for operators and material for research. In this paper, we discuss the online virtual-cluster provision problem for multiple tenants with an aim to decide when and where the virtual cluster should be placed in a data center network. Our objective is maximizing the total revenue for the data center networks under the constraints. In order to solve this problem, this paper divides it into two parts: online multi-tenancy scheduling and virtual cluster placement. The first part aims to determine the scheduling orders for the multiple tenants, and the second part aims to determine the locations of virtual machines. We first approach the problem by using the variational inequality model and discuss the existence of the optimal solution. After that, we prove that provisioning virtual clusters for a multi-tenant data center network that maximizes revenue is NP-hard. Due to the complexity of this problem, an efficient heuristic algorithm OMS (Online Multi-tenancy Scheduling) is proposed to solve the online multi-tenancy scheduling problem. We further explore the virtual cluster placement problem based on the OMS and propose a novel algorithm during the virtual machine placement. We evaluate our algorithms through a series of simulations, and the simulations results demonstrate that OMS can significantly increase the efficiency and total revenue for the data centers.